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from flask import Flask, request, jsonify, Response, stream_with_context
import google.generativeai as genai
import json
from datetime import datetime
import os
import logging
import func
os.environ['TZ'] = 'Asia/Shanghai'
app = Flask(__name__)
app.secret_key = os.urandom(24)
PASSWORD = os.environ['password']
formatter = logging.Formatter('%(message)s')
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
handler = logging.StreamHandler()
handler.setFormatter(formatter)
logger.addHandler(handler)
safety_settings = [
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "BLOCK_NONE"
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "BLOCK_NONE"
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "BLOCK_NONE"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "BLOCK_NONE"
},
]
class APIKeyManager:
def __init__(self):
self.api_keys = os.environ.get('KeyArray').split(',')
self.current_index = 0
def get_available_key(self):
if self.current_index >= len(self.api_keys):
self.current_index = 0
current_key = self.api_keys[self.current_index]
self.current_index += 1
return current_key
key_manager = APIKeyManager()
current_api_key = key_manager.get_available_key()
logger.info(f"Current API key: {current_api_key}")
GEMINI_MODELS = [
{"id": "gemini-pro"},
{"id": "gemini-pro-vision"},
{"id": "gemini-1.0-pro"},
{"id": "gemini-1.0-pro-vision"},
{"id": "gemini-1.5-pro-002"},
{"id": "gemini-exp-1114"},
{"id": "gemini-exp-1121"},
{"id": "gemini-exp-1206"},
{"id": "gemini-2.0-flash-exp"},
{"id": "gemini-2.0-exp"},
{"id": "gemini-2.0-pro-exp"},
]
@app.route('/hf/v1/chat/completions', methods=['POST'])
def chat_completions():
global current_api_key
is_authenticated, auth_error, status_code = func.authenticate_request(PASSWORD, request)
if not is_authenticated:
return auth_error if auth_error else jsonify({'error': 'Unauthorized'}), status_code if status_code else 401
try:
request_data = request.get_json()
messages = request_data.get('messages', [])
model = request_data.get('model', 'gemini-exp-1206')
temperature = request_data.get('temperature', 1)
max_tokens = request_data.get('max_tokens', 8192)
stream = request_data.get('stream', False)
logger.info(f"\n{model} [r] -> {current_api_key[:11]}...")
gemini_history, user_message, error_response = func.process_messages_for_gemini(messages)
if error_response:
print(error_response)
genai.configure(api_key=current_api_key)
generation_config = {
"temperature": temperature,
"max_output_tokens": max_tokens
}
gen_model = genai.GenerativeModel(
model_name=model,
generation_config=generation_config,
safety_settings=safety_settings
)
if stream:
if gemini_history:
chat_session = gen_model.start_chat(history=gemini_history)
response = chat_session.send_message(user_message, stream=True)
else:
response = gen_model.generate_content(user_message, stream=True)
def generate():
try:
for chunk in response:
if chunk.text:
data = {
'choices': [
{
'delta': {
'content': chunk.text
},
'finish_reason': None,
'index': 0
}
],
'object': 'chat.completion.chunk'
}
yield f"data: {json.dumps(data)}\n\n"
data = {
'choices': [
{
'delta': {},
'finish_reason': 'stop',
'index': 0
}
],
'object': 'chat.completion.chunk'
}
yield f"data: {json.dumps(data)}\n\n"
except Exception as e:
logger.error(f"Error during streaming: {str(e)}")
data = {
'error': {
'message': str(e),
'type': 'internal_server_error'
}
}
yield f"data: {json.dumps(data)}\n\n"
return Response(stream_with_context(generate()), mimetype='text/event-stream')
else:
if gemini_history:
chat_session = gen_model.start_chat(history=gemini_history)
response = chat_session.send_message(user_message)
else:
response = gen_model.generate_content(user_message)
try:
text_content = response.candidates[0].content.parts[0].text
except (AttributeError, IndexError, TypeError) as e:
logger.error(f"Error getting text content: {str(e)}")
text_content = "Error: Unable to get text content."
response_data = {
'id': 'chatcmpl-xxxxxxxxxxxx',
'object': 'chat.completion',
'created': int(datetime.now().timestamp()),
'model': model,
'choices': [{
'index': 0,
'message': {
'role': 'assistant',
'content': text_content
},
'finish_reason': 'stop'
}],
'usage':{
'prompt_tokens': 0,
'completion_tokens': 0,
'total_tokens': 0
}
}
logger.info(f"Generation Success")
return jsonify(response_data)
except Exception as e:
logger.error(f"Error in chat completions: {str(e)}")
return jsonify({
'error': {
'message': str(e),
'type': 'invalid_request_error'
}
}), 500
finally:
current_api_key = key_manager.get_available_key()
logger.info(f"API KEY Switched -> {current_api_key[:11]}...")
@app.route('/hf/v1/models', methods=['GET'])
def list_models():
is_authenticated, auth_error, status_code = func.authenticate_request(PASSWORD, request)
if not is_authenticated:
return auth_error if auth_error else jsonify({'error': 'Unauthorized'}), status_code if status_code else 401
response = {"object": "list", "data": GEMINI_MODELS}
return jsonify(response)
if __name__ == '__main__':
app.run(debug=True, host='0.0.0.0', port=int(os.environ.get('PORT', 7860))) |